flan / trainer_state.json
lijingys's picture
Upload 12 files
d030114 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 4.0,
"eval_steps": 500,
"global_step": 21900,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.091324200913242,
"grad_norm": 4.222515106201172,
"learning_rate": 2.9315068493150685e-05,
"loss": 0.5886,
"step": 500
},
{
"epoch": 0.182648401826484,
"grad_norm": 4.046519756317139,
"learning_rate": 2.863013698630137e-05,
"loss": 0.5361,
"step": 1000
},
{
"epoch": 0.273972602739726,
"grad_norm": 4.622340679168701,
"learning_rate": 2.7945205479452054e-05,
"loss": 0.53,
"step": 1500
},
{
"epoch": 0.365296803652968,
"grad_norm": 6.696527481079102,
"learning_rate": 2.726027397260274e-05,
"loss": 0.522,
"step": 2000
},
{
"epoch": 0.45662100456621,
"grad_norm": 4.05750846862793,
"learning_rate": 2.6575342465753424e-05,
"loss": 0.523,
"step": 2500
},
{
"epoch": 0.547945205479452,
"grad_norm": 5.323693752288818,
"learning_rate": 2.589041095890411e-05,
"loss": 0.5322,
"step": 3000
},
{
"epoch": 0.639269406392694,
"grad_norm": 5.546619892120361,
"learning_rate": 2.5205479452054793e-05,
"loss": 0.5302,
"step": 3500
},
{
"epoch": 0.730593607305936,
"grad_norm": 4.484456539154053,
"learning_rate": 2.452054794520548e-05,
"loss": 0.5118,
"step": 4000
},
{
"epoch": 0.821917808219178,
"grad_norm": 4.336514949798584,
"learning_rate": 2.3835616438356165e-05,
"loss": 0.5204,
"step": 4500
},
{
"epoch": 0.91324200913242,
"grad_norm": 3.2517621517181396,
"learning_rate": 2.315068493150685e-05,
"loss": 0.518,
"step": 5000
},
{
"epoch": 1.0,
"eval_loss": 0.5103840827941895,
"eval_runtime": 48.2013,
"eval_samples_per_second": 219.289,
"eval_steps_per_second": 54.833,
"step": 5475
},
{
"epoch": 1.004566210045662,
"grad_norm": 4.530373573303223,
"learning_rate": 2.2465753424657534e-05,
"loss": 0.5034,
"step": 5500
},
{
"epoch": 1.095890410958904,
"grad_norm": 3.625715732574463,
"learning_rate": 2.178082191780822e-05,
"loss": 0.4662,
"step": 6000
},
{
"epoch": 1.187214611872146,
"grad_norm": 4.742297649383545,
"learning_rate": 2.1095890410958904e-05,
"loss": 0.4676,
"step": 6500
},
{
"epoch": 1.278538812785388,
"grad_norm": 3.3340749740600586,
"learning_rate": 2.041095890410959e-05,
"loss": 0.4885,
"step": 7000
},
{
"epoch": 1.36986301369863,
"grad_norm": 4.077823638916016,
"learning_rate": 1.9726027397260273e-05,
"loss": 0.4562,
"step": 7500
},
{
"epoch": 1.461187214611872,
"grad_norm": 2.796003580093384,
"learning_rate": 1.904109589041096e-05,
"loss": 0.4597,
"step": 8000
},
{
"epoch": 1.5525114155251143,
"grad_norm": 2.7733001708984375,
"learning_rate": 1.8356164383561642e-05,
"loss": 0.4552,
"step": 8500
},
{
"epoch": 1.643835616438356,
"grad_norm": 2.2728240489959717,
"learning_rate": 1.767123287671233e-05,
"loss": 0.4584,
"step": 9000
},
{
"epoch": 1.7351598173515983,
"grad_norm": 2.6873130798339844,
"learning_rate": 1.6986301369863014e-05,
"loss": 0.465,
"step": 9500
},
{
"epoch": 1.82648401826484,
"grad_norm": 4.094951152801514,
"learning_rate": 1.63013698630137e-05,
"loss": 0.4704,
"step": 10000
},
{
"epoch": 1.9178082191780823,
"grad_norm": 4.901790618896484,
"learning_rate": 1.5616438356164384e-05,
"loss": 0.4636,
"step": 10500
},
{
"epoch": 2.0,
"eval_loss": 0.5072851181030273,
"eval_runtime": 47.2386,
"eval_samples_per_second": 223.758,
"eval_steps_per_second": 55.95,
"step": 10950
},
{
"epoch": 2.009132420091324,
"grad_norm": 3.074185371398926,
"learning_rate": 1.4931506849315068e-05,
"loss": 0.4636,
"step": 11000
},
{
"epoch": 2.1004566210045663,
"grad_norm": 4.926590442657471,
"learning_rate": 1.4246575342465753e-05,
"loss": 0.4476,
"step": 11500
},
{
"epoch": 2.191780821917808,
"grad_norm": 9.777703285217285,
"learning_rate": 1.3561643835616437e-05,
"loss": 0.4311,
"step": 12000
},
{
"epoch": 2.2831050228310503,
"grad_norm": 2.8424761295318604,
"learning_rate": 1.2876712328767124e-05,
"loss": 0.4331,
"step": 12500
},
{
"epoch": 2.374429223744292,
"grad_norm": 7.403332710266113,
"learning_rate": 1.2191780821917808e-05,
"loss": 0.4337,
"step": 13000
},
{
"epoch": 2.4657534246575343,
"grad_norm": 3.8425567150115967,
"learning_rate": 1.1506849315068493e-05,
"loss": 0.4315,
"step": 13500
},
{
"epoch": 2.557077625570776,
"grad_norm": 5.38580322265625,
"learning_rate": 1.0821917808219177e-05,
"loss": 0.4344,
"step": 14000
},
{
"epoch": 2.6484018264840183,
"grad_norm": 5.385922908782959,
"learning_rate": 1.0136986301369862e-05,
"loss": 0.4331,
"step": 14500
},
{
"epoch": 2.73972602739726,
"grad_norm": 3.808145523071289,
"learning_rate": 9.452054794520548e-06,
"loss": 0.4476,
"step": 15000
},
{
"epoch": 2.8310502283105023,
"grad_norm": 2.4701247215270996,
"learning_rate": 8.767123287671233e-06,
"loss": 0.4142,
"step": 15500
},
{
"epoch": 2.922374429223744,
"grad_norm": 3.8906421661376953,
"learning_rate": 8.082191780821917e-06,
"loss": 0.412,
"step": 16000
},
{
"epoch": 3.0,
"eval_loss": 0.5061534643173218,
"eval_runtime": 46.16,
"eval_samples_per_second": 228.986,
"eval_steps_per_second": 57.257,
"step": 16425
},
{
"epoch": 3.0136986301369864,
"grad_norm": 3.2641985416412354,
"learning_rate": 7.397260273972603e-06,
"loss": 0.435,
"step": 16500
},
{
"epoch": 3.105022831050228,
"grad_norm": 3.6989686489105225,
"learning_rate": 6.712328767123287e-06,
"loss": 0.418,
"step": 17000
},
{
"epoch": 3.1963470319634704,
"grad_norm": 3.902902603149414,
"learning_rate": 6.027397260273973e-06,
"loss": 0.4088,
"step": 17500
},
{
"epoch": 3.287671232876712,
"grad_norm": 2.8096017837524414,
"learning_rate": 5.342465753424657e-06,
"loss": 0.4047,
"step": 18000
},
{
"epoch": 3.3789954337899544,
"grad_norm": 4.373694896697998,
"learning_rate": 4.657534246575343e-06,
"loss": 0.4149,
"step": 18500
},
{
"epoch": 3.470319634703196,
"grad_norm": 3.5170211791992188,
"learning_rate": 3.972602739726027e-06,
"loss": 0.406,
"step": 19000
},
{
"epoch": 3.5616438356164384,
"grad_norm": 5.333255290985107,
"learning_rate": 3.2876712328767123e-06,
"loss": 0.4168,
"step": 19500
},
{
"epoch": 3.65296803652968,
"grad_norm": 4.406794548034668,
"learning_rate": 2.6027397260273973e-06,
"loss": 0.4132,
"step": 20000
},
{
"epoch": 3.7442922374429224,
"grad_norm": 3.849666118621826,
"learning_rate": 1.9178082191780823e-06,
"loss": 0.4175,
"step": 20500
},
{
"epoch": 3.8356164383561646,
"grad_norm": 3.263227701187134,
"learning_rate": 1.232876712328767e-06,
"loss": 0.4104,
"step": 21000
},
{
"epoch": 3.9269406392694064,
"grad_norm": 3.7278597354888916,
"learning_rate": 5.47945205479452e-07,
"loss": 0.4139,
"step": 21500
}
],
"logging_steps": 500,
"max_steps": 21900,
"num_input_tokens_seen": 0,
"num_train_epochs": 4,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 1.1039565219447398e+17,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}